Defect Detection Model Using CNN and Image Augmentation for Seat Foaming Process
In the manufacturing industry, which is facing the 4th Industrial Revolution, various process data are being collected from various Mugs sensors, and efforts are being made to construct more efficient processes using these data.Many studies have demonstrated high accuracy in predicting defect rates through image data collected during the process us